Optimal Matching with Matching Priority
Matching algorithms are commonly used to build comparable subsets (matchings) in observational studies. When a complete matching is not possible, some units must necessarily be excluded from the final matching. This may bias the final estimates comparing the two populations, and thus it is important...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-03-01
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| Series: | Analytics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2813-2203/3/1/9 |